Triple

T654398
Position Surface form Disambiguated ID Type / Status
Subject Ted E11614 entity
Predicate editedBy P1954 FINISHED
Object Jeff Freeman E33412 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jeff Freeman | Statement: [Ted, editedBy, Jeff Freeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Freeman
Context triple: [Ted, editedBy, Jeff Freeman]
  • A. Jeff Freeman chosen
    Jeff Freeman is a film editor known for his work on major Hollywood comedies, including serving as the editor of the movie "Ted 2."
  • B. Sam Reid
    Sam Reid is an Australian actor known for his work in film and television, including roles in period dramas and literary adaptations.
  • C. Brian VanDeMark
    Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
  • D. Joey Luft
    Joey Luft is an American television producer and occasional actor best known as the son of legendary entertainer Judy Garland and producer Sidney Luft.
  • E. Travis Beacham
    Travis Beacham is an American screenwriter best known for co-writing the science fiction monster film "Pacific Rim."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4bb5b881908a18b5ec1c94e0cf completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3925a14819093336c4217c7e893 completed March 2, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:36 p.m.